A Non-Parametric Approach for the Activation Detection of Block Design fMRI Simulated Data Using Self-Organizing Maps and Support Vector Machine-Reference-Cited by-同舟云学术

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A Non-Parametric Approach for the Activation Detection of Block Design fMRI Simulated Data Using Self-Organizing Maps and Support Vector Machine

Published:2017 Issue:3 Volume:7 Page:153
ISSN:2228-7477
Container-title:Journal of Medical Signals & Sensors
language:en
Short-container-title:J Med Signals Sens

Author:

Bahrami Sheyda,Shamsi Mousa

Publisher

Medknow

Subject

Health Informatics,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Radiological and Ultrasound Technology,Computer Science (miscellaneous)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fast Anchor Graph Optimized Projections with Principal Component Analysis and Entropy Regularization;2024

2. The use of machine learning and deep learning algorithms in functional magnetic resonance imaging—A systematic review;Expert Systems;2020-10-15

3. Overview and comparative study of dimensionality reduction techniques for high dimensional data;Information Fusion;2020-07

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